|
| Tensor | cytnx::zeros (const std::vector< cytnx_uint64 > &shape, unsigned int dtype=Type.Double, int device=Device.cpu) |
| | Create a Tensor with all elements initialized to zero.
|
| |
| Tensor | cytnx::zeros (std::initializer_list< cytnx_uint64 > shape, unsigned int dtype=Type.Double, int device=Device.cpu) |
| |
| Tensor | cytnx::identity (cytnx_uint64 Dim, unsigned int dtype=Type.Double, int device=Device.cpu) |
| | Create a square rank-2 Tensor with the diagonal initialized to one and all other elements set to zero.
|
| |
| Tensor | cytnx::eye (cytnx_uint64 Dim, unsigned int dtype=Type.Double, int device=Device.cpu) |
| | Create a square rank-2 Tensor with the diagonal initialized to one and all other elements set to zero.
|
| |
| Tensor | cytnx::ones (const std::vector< cytnx_uint64 > &shape, unsigned int dtype=Type.Double, int device=Device.cpu) |
| | Create a Tensor with all elements initialized to one.
|
| |
| Tensor | cytnx::ones (std::initializer_list< cytnx_uint64 > shape, unsigned int dtype=Type.Double, int device=Device.cpu) |
| |
| Tensor | cytnx::arange (cytnx_int64 Nelem) |
| | Create a rank-1 Tensor with incremental unsigned integer elements in the range [0,Nelem).
|
| |
| Tensor | cytnx::arange (cytnx_double start, cytnx_double end, cytnx_double step=1, unsigned int dtype=Type.Double, int device=Device.cpu) |
| | Create a rank-1 Tensor with incremental elements in the range [start,end) with given step-size step between elements.
|
| |
| Tensor | cytnx::linspace (cytnx_double start, cytnx_double end, cytnx_uint64 Nelem, bool endpoint=true, unsigned int dtype=Type.Double, int device=Device.cpu) |
| |